Model Context Protocol Directory

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Discover and integrate 0 protocol-compliant MCP servers to enhance your AI applications with external data and tools.

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MCP Servers

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Developers

100%

Compliance

Protocol Overview

What is MCP?

Model Context Protocol (MCP) is a standardized communication interface that connects AI models with external tools, data sources, and functionality. MCP servers act as middleware, managing context and providing AI models with the capabilities they need.

Unified API

Standardized interface for AI model interactions through a consistent protocol

Secure Context Management

Safely handle and process sensitive context data for AI models

Extensible Framework

Build custom modules to extend functionality based on your specific needs

AI Application
MCP Server
File Systems
Databases
Web APIs
Knowledge Bases

Documentation Highlights

  • Architecture Overview
  • Protocol Guide
  • Quick Start Tutorial
  • Best Practices
  • Server Selection Guide
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Popular Implementations

Top-Rated MCP Servers

Explore the most popular Model Context Protocol servers from our directory of 2,300+ implementations. Find the perfect server for your AI application needs.

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Building the Future of AI Communication

Model Context Protocol (MCP) enables seamless communication between AI models and tools. Join our growing community of developers building the next generation of AI applications.

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Quality First

Curated collection of high-quality MCP implementations

Growing Fast

New servers added daily by our community

Well Documented

Comprehensive guides and examples

MCP Server Example

import { Server } from "@modelcontextprotocol/sdk/server";

// Create a new MCP server

const server = new Server({

  name: "file-access",

  version: "1.0.0"

})

await server.connect();

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Server Categorization
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